Panagiotis Psimoulis

Dr. Panagiotis Psimoulis

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 February 2013 in Journal of Bridge Engineering
Verified
Journal Article
Closed access
PPPanagiotis Psimoulis
Panagiotis Psimoulis
STATHIS STIROSSTATHIS STIROS
STATHIS STIROS
A robotic total station (RTS) [or robotic theodolite or theodolite positioning system (TPS)] was used for the first time to measure the deflections of a short-span bridge in response to passing trains. The RTS measurements aimed to a reflector which was set on one of the midspans of the historical Gorgopotamos Bridge in Greece permitted to identify the measurement noise (apparent displacements) up to ±1.3 mm when no trains were passing, and deflections with peaks of 2.5–6 mm during intervals when small or larger trains were passing. These results confirm previous experiments and indicate that, under certain conditions (mostly favorable atmospheric conditions), an RTS can be used for monitoring dynamic displacements of relatively stiff bridges, and as a useful tool for structural health monitoring.

1 December 2008 in Journal of Sound and Vibration
Verified
Journal Article
Closed access
PPPanagiotis Psimoulis
Panagiotis Psimoulis
SPStella Pytharouli
Stella Pytharouli
DKDimitris Karambalis
Dimitris Karambalis
STATHIS STIROSSTATHIS STIROS
STATHIS STIROS

28 March 2012 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
ANAndrew V. Newman
Andrew V. Newman
STATHIS STIROSSTATHIS STIROS
STATHIS STIROS
LFLujia Feng
Lujia Feng
PPPanagiotis Psimoulis
Panagiotis Psimoulis
FMFanis Moschas
Fanis Moschas
DVDomenikos Vamvakaris
Domenikos Vamvakaris
After approximately 60 years of seismic quiescence within Santorini caldera, in January 2011 the volcano reawakened with a significant seismic swarm and rapidly expanding radial deformation. The deformation is imaged by a dense network of 19 survey and 5 continuous GPS stations, showing that as of 21 January 2012, the volcano has extended laterally from a point inside the northern segment of the caldera by about 140 mm and is expanding at 180 mm/yr. A series of spherical source models show the source is not migrating significantly, but remains about 4 km depth and has expanded by 14 million m3since inflation began. A distributed sill model is also tested, which shows a possible N‐S elongation of the volumetric source. While observations of the current deformation sequence are unprecedented at Santorini, it is not certain that an eruption is imminent as other similar calderas have experienced comparable activity without eruption.

1 May 2008 in Computer-Aided Civil and Infrastructure Engineering
Verified
Journal Article
Open access
PDF file
PPPanagiotis Psimoulis
Panagiotis Psimoulis
STATHIS STIROSSTATHIS STIROS
STATHIS STIROS
Based on experimental evidence we explore the possibility of using GPS and robotic total stations (RTS) for measurements of oscillations of relatively rigid structures (modal frequencies up to 3–4 Hz). Our strategy was to compare uni-axial oscillations of known characteristics with simultaneous recordings of both GPS and RTS, and analyze obtained time series to determine amplitude and frequency of oscillations. The conclusion of this study is that GPS can record oscillations up to 4 Hz with a minimum amplitude of 5–10 mm with an accuracy of a few millimeters, and that RTS can record peaks of oscillations with submillimeters to a few millimeters accuracy, but at high frequencies some cycles were lost. Based on recordings of both the instruments frequencies of oscillations were also accurately determined, though noise seems to increase with increasing frequency. Spectral analysis was based on the least-square-based software which permits one to analyze discontinuous, short, and non-equispaced time series. The latter derive either from GPS signal outages/imperfections and hardware/software imperfections, or from a non-constant rate of sampling for RTS. The overall conclusion is that the adopted computational approaches permit us to overcome some main disadvantages of these instruments and to use conventional GPS and RTS instrumentation for a wide range of cases of structural monitoring, especially if displacements relative to an independent coordinate system are required.


4 March 2018 in Sensors
Verified
Journal Article
Open access
PDF file
Xiaolin MengXiaolin Meng
Xiaolin Meng
DNDinh Tung Nguyen
Dinh Tung Nguyen
YXYilin Xie
Yilin Xie
John OwenJohn Owen
John Owen
PPPanagiotis Psimoulis
Panagiotis Psimoulis
PBPaul Bhatia
Paul Bhatia
Structural Health Monitoring (SHM) is a relatively new branch of civil engineering that focuses on assessing the health status of infrastructure, such as long-span bridges. Using a broad range of in-situ monitoring instruments, the purpose of the SHM is to help engineers understand the behaviour of structures, ensuring their structural integrity and the safety of the public. Under the Integrated Applications Promotion (IAP) scheme of the European Space Agency (ESA), a feasibility study (FS) project that used the Global Navigation Satellite Systems (GNSS) and Earth Observation (EO) for Structural Health Monitoring of Long-span Bridges (GeoSHM) was initiated in 2013. The GeoSHM FS Project was led by University of Nottingham and the Forth Road Bridge (Scotland, UK), which is a 2.5 km long suspension bridge across the Firth of Forth connecting Edinburgh and the Northern part of Scotland, was selected as the test structure for the GeoSHM FS project. Initial results have shown the significant potential of the GNSS and EO technologies. With these successes, the FS project was further extended to the demonstration stage, which is called the GeoSHM Demo project where two other long-span bridges in China were included as test structures. Led by UbiPOS UK Ltd. (Nottingham, UK), a Nottingham Hi-tech company, this stage focuses on addressing limitations identified during the feasibility study and developing an innovative data strategy to process, store, and interpret monitoring data. This paper will present an overview of the motivation and challenges of the GeoSHM Demo Project, a description of the software and hardware architecture and a discussion of some primary results that were obtained in the last three years.